Senior Engineer Software - AI [T500-29309]

About Albertsons Companies Inc. (ACI):

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.

We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.

Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.

About Albertsons India Capability Center:

At Albertsons India Capability Center, we’re not just pushing the boundaries of technology and retail innovation, we’re cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.

At the Albertsons India Capability Center, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons India Capability Center, associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.

We are excited to announce an opening for Senior Engineer Software at ACI. Please find below the details of the role and its responsibilities.

Skills Required:

Python, Vertex AI, Azure Machine Learning, LangChain, LangGraph, RAG, Vector Databases, Generative AI, LLMs, AI Agents, Prompt Engineering, REST APIs, Kafka, Event-Driven Architecture, Docker, Kubernetes, CI/CD, Azure DevOps, GitHub Actions, PostgreSQL, MongoDB, Cassandra, Azure AI Search, Vertex AI Vector Search MLOps, Observability, GitHub Copilot

Experience Range:

6 - 9 years

Position Title: Senior Engineer Software (T07)

Function:

Roles & responsibilities:

• Writes production-grade AI application code daily and conducts code reviews, maintaining high standards of quality, security, and scalability.
• Evaluates complex business requirements and translates them into AI-powered solutions using Machine Learning, Generative AI, and Agentic AI frameworks.
• Designs and develops enterprise AI applications using Python and cloud-native AI platform services.
• Improve and sustain existing AI services and platforms, reducing technical debt while enhancing model quality, performance, and reliability.
• Conducts feasibility studies for AI use cases and recommends appropriate AI/ML, GenAI, and RAG solution approaches.
• Demonstrates and models of engineering excellence while mentoring junior engineers on AI development best practices.
• Focuses on quality in all aspects of AI solution delivery, including model evaluation, observability, governance, and production readiness.
• AI Development: Designs and develops AI solutions using Python, Large Language Models (LLMs), prompt engineering, and AI orchestration frameworks.
• RAG Solutions: Builds and maintains Retrieval-Augmented Generation (RAG) pipelines, embedding services, chunking strategies, retrieval workflows, and enterprise knowledge solutions.
• AI Agents: Develops AI agents using LangChain, LangGraph, or similar frameworks, including tool calling, workflow orchestration, memory management, and human-in-the-loop capabilities.
• Vector Search: Designs and implements vector search solutions using Azure AI Search, Vertex AI Vector Search, Pinecone, Weaviate, pgVector, or similar technologies.
• AI Integration: Integrates AI solutions with enterprise systems through REST APIs, Kafka, messaging platforms, and event-driven architectures.
• Cloud & Delivery: Deploys AI models and services on Vertex AI or Azure Machine Learning platforms while leveraging Docker, Kubernetes, CI/CD pipelines, and Gi…